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Design and build foundational DevAI infrastructure for Ads, focusing on extensibility and ROI across business verticals. Provide technical leadership on cross-cutting AI projects including agents, infrastructure, and strategic bets, while driving the transition to AI-forward architecture. Lead technical strategy for the DevAI platform and collaborate across teams to influence roadmaps. Requires Bachelor's degree in Computer Science, Mathematics, or equivalent experience, plus 15 years of professional engineering experience.

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Job Description

  • Design and build the foundational DevAI infrastructure for Ads, ensuring extensibility, applicability, and maximum ROI across all business verticals and functions.
  • Provide technical leadership and uber-TL oversight for cross-cutting Ads Internal AI projects, including marquee agents, AI-friendly infrastructure, and strategic DevAI big bets.
  • Drive the transition toward AI-forward architecture and self-managing codebases by enabling agentic evaluation-driven development, skills, and context integration.
  • Lead the technical strategy and development for the DevAI platform and custom agents.
  • Collaborate with uber-TLs across Ads PAGs, Core, and GDM to influence roadmaps, technical direction, and Google's broader Buying platforms and Ads vision.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
  • 15 years of professional experience in engineering.

Preferred qualifications:

  • Master's degree in Computer Science, Mathematics, or Engineering.
  • Experience providing technical leadership across a larger organization, including motivating others at all levels by creating a shared sense of vision and purpose.
  • Knowledge of Google Ads products, the ecosystems our products and users exist in, and our competitors and their products.
  • Ability to balance detailed, technical guidance with “big picture” strategy.
  • Thought leadership to identify and design problems commensurate with PE scope and difficulty and a desire to solve hard engineering problems.
  • A demonstrated track record of technical innovation within large, complex, and cross-functional engineering environments.
  • Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
  • 15 years of professional experience in engineering.
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  • Role Principal Engineer, Agentic Platforms, Ads
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
5 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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